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引用本文:冯龙庆,时志强,潘剑君,殷燕,张运林,刘明亮.太湖冬季有色可溶性有机物吸收荧光特性及遥感算法.湖泊科学,2011,23(3):348-356. DOI:10.18307/2011.0306
FENG Longqing,SHI Zhiqiang,PAN Jianjun,YIN Yan,ZHANG Yunlin,LIU Mingliang.Characteristics of spectral absorption, fluorescence and remote sensing algorithms of chromophoric dissolved organic matter in winter, Lake Taihu. J. Lake Sci.2011,23(3):348-356. DOI:10.18307/2011.0306
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太湖冬季有色可溶性有机物吸收荧光特性及遥感算法
冯龙庆1,2, 时志强2,3, 潘剑君1, 殷燕2, 张运林2, 刘明亮2
1.南京农业大学资源与环境科学学院, 南京 210095;2.中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室, 太湖湖泊生态系统研究站, 南京 210008;3.河海大学环境科学与工程学院, 南京 210098
摘要:
基于2006年和2007年1月两次太湖采样,对50个点位的有色可溶性有机物(CDOM)光谱吸收、荧光、溶解性有机碳(DOC)浓度及遥感反射率进行测定与分析,探讨冬季太湖CDOM的吸收荧光特性及空间分布,建立CDOM吸收系数的遥感反演算法.结果表明,太湖冬季CDOM在355nm处吸收系数a(355)变化范围和均值分别为1.83-7.34 m-1、3.37±1.01 m-1,相应的荧光及DOC浓度变化范围、均值分别为9.79-29.18N.FL.U、13.4±3.37N.FL.U;4.61-10.45mg/L、6.37±1.24mg/L.CDOM吸收系数、CDOM荧光值、DOC浓度三者呈显著正相关.空间分布上,两次调查均显示CDOM吸收系数、CDOM荧光值、DOC浓度呈现出明显的南低北高,最大值都出现在太湖北部的藻型湖区梅梁湾内,最小值则在东太湖和贡湖湾2个草型湖区.通过单波段、一阶微分和BP神经网络模型3种不同CDOM反演方法精度的分析、比较发现,BP神经网络模型反演结果最好,模型验证的相对均方根误差和平均相对误差分别为14.9%、11.7%,可以用于冬季太湖CDOM吸收系数a(355)的遥感估算.
关键词:  有色可溶性有机物  荧光  遥感反射率  BP神经网络模型  太湖
DOI:10.18307/2011.0306
分类号:
基金项目:中国科学院知识创新工程项目(KZCX1-YW-14,KZCX2-YW-QN312);国家自然科学基金项目(40971252,40825004,40730529)联合资助
Characteristics of spectral absorption, fluorescence and remote sensing algorithms of chromophoric dissolved organic matter in winter, Lake Taihu
FENG Longqing1,2, SHI Zhiqiang2,3, PAN Jianjun1, YIN Yan2, ZHANG Yunlin2, LIU Mingliang2
1.College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, P. R. China;2.Lake Taihu Laboratory Ecosystem Research Station, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, P. R. China;3.College of Environmental Science and Engineering, Hohai University, Nanjing 210098, P. R. China
Abstract:
Based on two investigations with 100 sampling sites in Lake Taihu in January, 2006 and 2007, the eharactedsfies of spectral absorption and fluorescence, spatial distribution, and the retrieval model of ehromophofie dissolved organic matter (CDOM) were studied.The ranges and mean values of CDOM absorption coefficient at 355 nm a(355), fluorescence nomudized Fn(355) and dissolved organic earn(DOC) concentration were 1.83-7.34, 3.37±1.01 m-1;9.79-29.18, 13.4±3.37 N. FL. U;and 4.61-10.45, 6.37±1.24 mg/L, respectively.Significant positive correlations between a(355) and DOC, a(355) and Fn(355) were found.Spatially, two surveys have shown that the higher values of a(355), Fn(355), DOC concentration were follnd in Meiliang Bay and lower values were found in East Lake Taihu and Gonghu Bay.Overall, a(355), Fn(355), and DOC concentration were significantly higher in two transects in northern lake regions than those in other transects in southern lake regions.The results showed that BP neural network model wag superior to a single band model and the first order differential model for CDOM absorption estimation.The relative root ineall square error(RRMSE) and mean relative error(MRE) of BP neural network model were 14.9% and 11.7%, respectively, based on an independent validation dataset including 25 samples. Thus, BP neural network model could be better used to estimate CDOM absorption in Lake Taihu.
Key words:  Chromophoric dissolved organic matter  fluorescence  remote sensing reflectance  BP neural network model  Lake Taihu
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